About The Client

A leading U.S. logistics and supply chain provider, supporting mission- critical freight operations across thousands of daily shipments. With thin margins and high service expectations, the business depends heavily on technology performance and delivery consistency.

Business Challenge

  • Fragmented vendor ecosystem with 6 vendors supporting 15 teams led to coordination complexity, delivery delays, dependency risks, and low execution predictability.
  • Low execution predictability resulting from multi-vendor coordination overhead and lack of unified delivery ownership.
  • High total cost of ownership, driven by duplicated roles and overlapping responsibilities across QA, PMO, BA, and Scrum functions.
  • Weak governance and accountability due to siloed vendor operations, inconsistent SLAs, fragmented reporting, and limited executive visibility into performance.
  • Transition and knowledge management risks caused by fragmented knowledge, limited documentation, and distributed ownership across vendors.
  • Platform delivery inefficiencies across CX and integration layers, and disconnected technology operations were impacting user and customer journeys.
  • Limited visibility into platform health, performance, and technical debt as ownership and monitoring are distributed across multiple vendors.

Solution and Services

  • Transitioned to a One-Team, One-Owner operating model led by a single Delivery Manager with dedicated Tower Leads for development, CX, integrations, and support.
  • Consolidated delivery through a unified team structure with shared services across engineering, QA, governance, and delivery management, eliminating duplicate roles and improving coordination.
  • Implemented a three-tier governance framework with standardized KPIs, SLAs, and release performance metrics.
  • Rapidly scaled the delivery team with specialists across Salesforce, MuleSoft, Data Engineering, Analytics, Oracle SaaS, and shared services.
  • Delivered a structured 3-month transition approach encompassing knowledge transfer, shadow operations, phased ownership handover, and a stabilization phase.
  • Leveraged AI-powered frameworks to auto-generate technical documentation and accelerate knowledge capture, requirement gathering, test planning etc.
  • Stabilized platforms and accelerated feature delivery with integrated development, support, data, and CX delivery under a unified operating model.
  • Delivered a holistic technical debt assessment with a structured remediation roadmap.

Business Outcome

  • Achieved a 35% reduction in overall program costs through optimized resource utilization across the unified team.
  • Reduced vendor management complexity by establishing single-point accountability under a consolidated delivery model.

  • Stabilized key platforms and accelerated delivery outcomes, including increased release frequency (with up to 5 releases/month), and stabilized integrations and data pipelines within the first 90 days.

  • Improved governance, transparency, and executive oversight with standardized reporting, KPIs, and centralized delivery management.
  • Enabled a scalable delivery model capable of rapidly supporting evolving logistics business demands without dependency on multiple vendors.
  • Reduced transition risk and accelerated knowledge onboarding through structured knowledge transfer and consolidated documentation practices.
  • Enhanced customer experience across mission-critical systems through integrated delivery ownership.
  • Provided leadership with clear visibility into platform health and a structured maturity roadmap to support long-term technology planning.

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